{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3 直方图Histogramplot\n",
    "直方图能够准确表现数据的分布，在seaborn中使用distplot函数制作直方图，该章节主要内容有：\n",
    "1. 基本直方图的绘制 Basic histogram\n",
    "2. 数据分布与密度信息显示 Control rug and density on seaborn histogram\n",
    "3. 带箱形图的直方图 Histogram with a boxplot on top\n",
    "4. 多个变量的直方图 Histogram with several variables\n",
    "5. 边际图 Marginal plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sepal_length  sepal_width  petal_length  petal_width species\n",
       "0           5.1          3.5           1.4          0.2  setosa\n",
       "1           4.9          3.0           1.4          0.2  setosa\n",
       "2           4.7          3.2           1.3          0.2  setosa\n",
       "3           4.6          3.1           1.5          0.2  setosa\n",
       "4           5.0          3.6           1.4          0.2  setosa"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#调用seaborn\n",
    "import seaborn as sns\n",
    "#调用seaborn自带数据集\n",
    "df = sns.load_dataset('iris')\n",
    "#显示数据集\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. 基本直方图的绘制 Basic histogram\n",
    "+ 绘制默认直方图 Make default histogram \n",
    "+ bin的数量设置 Control the number of bins \n",
    "+ 垂直直方图 Vertical Histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\scipy\\stats\\stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制默认直方图 Make default histogram \n",
    "# displot默认绘制概率密度函数曲线，及kde=True\n",
    "# 下图纵坐标为在横坐标区域内分布的概率,曲线表示概率密度函数，在区间上积分值为1\n",
    "sns.distplot( df[\"sepal_length\"]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# bin的数量设置 Control the number of bins \n",
    "# bin控制直方图的竖直的长方形的数量\n",
    "sns.distplot( df[\"sepal_length\"], bins=20);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 垂直直方图 Vertical Histogram\n",
    "# vertical=True设置直方图垂直\n",
    "sns.distplot( df[\"sepal_length\"] , color=\"skyblue\", vertical=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. 数据分布与密度信息显示 Control rug and density on seaborn histogram\n",
    "+ 仅显示直方图 Hist only\n",
    "+ 显示带数据分布和密度的直方图 Hist + Rug + kernel density\n",
    "+ 密度分布曲线参数修改 To change parameters of density distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 仅显示直方图  Hist only\n",
    "# hist :控制是否显示条形图\n",
    "# kde :控制是否显示核密度估计图\n",
    "# rug :控制是否显示观测的小细条（边际毛毯）\n",
    "sns.distplot( a=df[\"sepal_length\"], hist=True, kde=False, rug=False );"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 显示带数据分布和密度的直方图 Hist + Rug + kernel density\n",
    "sns.distplot( a=df[\"sepal_length\"], hist=True, kde=True, rug=True );"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 密度分布曲线参数修改 To change parameters of density distribution\n",
    "sns.distplot( a=df[\"sepal_length\"], kde=True,kde_kws={\"color\": \"g\", \"alpha\":0.3, \"linewidth\": 5, \"shade\":True });"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. 带箱形图的直方图 Histogram with a boxplot on top"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 此图表主要基于seaborn，但也需要matplotlib，将图形窗口分成两部分\n",
    "# 导入matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "# Cut the window in 2 parts 将窗口分为两部分\n",
    "# sharex共享x轴，图像分为上下两部分，上面部分ax_box占比0.15，下面部分ax_hist占比0.85\n",
    "f, (ax_box, ax_hist) = plt.subplots(2, sharex=True, gridspec_kw={\"height_ratios\": (.15, .85)})\n",
    " \n",
    "# Add a graph in each part 绘制两种不同的图像\n",
    "sns.boxplot(df[\"sepal_length\"], ax=ax_box)\n",
    "sns.distplot(df[\"sepal_length\"], ax=ax_hist)\n",
    "# Remove x axis name for the boxplot 不显示箱形图的横坐标\n",
    "ax_box.set(xlabel='');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. 多个变量的直方图 Histogram with several variables\n",
    "+ 同轴绘制 distributions together\n",
    "+ 多窗口绘制 several parts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1f910164f28>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 同轴绘制 distributions together\n",
    "# 如果您有多个变量并且想要将它们的分布可视化在一起，您有两个选项：在同一轴上绘制或者将窗口分成几个部分。\n",
    "# 如果你没有太多变量，并且它们没有重叠，那么同一轴上绘制就更好了\n",
    "import matplotlib.pyplot as plt\n",
    "sns.distplot( df[\"sepal_length\"] , color=\"skyblue\", label=\"Sepal Length\");\n",
    "sns.distplot( df[\"sepal_width\"] , color=\"red\", label=\"Sepal Width\");\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 多窗口绘制 several parts\n",
    "import matplotlib.pyplot as plt\n",
    "# plot 通过matplotlib将图像分为四部分，并且共享x轴\n",
    "f, axes = plt.subplots(2, 2, figsize=(7, 7), sharex=True)\n",
    "# 设定坐标轴位置\n",
    "sns.distplot( df[\"sepal_length\"] , color=\"skyblue\", ax=axes[0, 0]);\n",
    "sns.distplot( df[\"sepal_width\"] , color=\"olive\", ax=axes[0, 1]);\n",
    "sns.distplot( df[\"petal_length\"] , color=\"gold\", ax=axes[1, 0]);\n",
    "sns.distplot( df[\"petal_width\"] , color=\"teal\", ax=axes[1, 1]);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. 边际图 Marginal plot\n",
    "+ 边界散点图 scatter\n",
    "+ 边界回归图 reg\n",
    "+ 边界残差图 resid\n",
    "+ 边界核密度图 kde\n",
    "+ 边界六角图 hex"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 边际图能够很好显示两个数值变量之间的关系。\n",
    "# 中央图表显示其相关性。它通常是散点图，hexbin图，2D直方图或2D密度图。\n",
    "# 边缘图通常在顶部和右侧，使用直方图或密度图显示2个变量的分布。\n",
    "# 边际图通过jointplot绘制，主要类型参数为kind\n",
    "# Custom the inside plot: options are: “scatter” | “reg” | “resid” | “kde” | “hex”\n",
    "# 边际散点图 中间是散点图，边界是直方图\n",
    "sns.jointplot(x=df[\"sepal_length\"], y=df[\"sepal_width\"], kind='scatter');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 边际回归图 中间是带回归方程的散点图，边界是带密度分布的直方图\n",
    "sns.jointplot(x=df[\"sepal_length\"], y=df[\"sepal_width\"], kind='reg');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 边际残差图 中间是带回归方程的散点图，边界是带密度分布的直方图\n",
    "sns.jointplot(x=df[\"sepal_length\"], y=df[\"sepal_width\"], kind='resid');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 边界核密度估计图\n",
    "sns.jointplot(x=df[\"sepal_length\"], y=df[\"sepal_width\"], kind='kde');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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P9YX7dg2xsCFKa43NlpTDsBveFhO1oL01Ftr7HysZNbS3xonZhu5hj529bqhPu13WFOX5S2qw9XnvM86wG9CRcsh6QkvSZllzNNQDxN6Mz54+r6IHhRU63p3xNKDGkfECtqYc0p4ggC+wrduhK2GxojlW9o3lwIDL7VsGjlQW8YjFqXPjHBr0QtlwWpM2y5uj2CO/R9gV26L6CAsaolgm115rTYTGRIStqSwDTnkf/x6zDS9ZXsvy5hhRTacZRUTYN+BxoN9jdK3oTvv0ZX1WtcRoTJT3ANELhJ09Lj0ZP9SDpbEsA3HbVPTgcCbTgBpDROgc8tjd5x23wgYCvemAxzMZVrXEaCpDNeUFwgO7h3m6M4N3zH7aMob5dRGakzZbunJhOVURC1a1xKiPW0fCAsILp0QkVzXFI+ao9owxRG04eU6crmGPXb1uWfpwUkOUV7XXEbPNkfBVM0N6tGryhbGbggBeAFu6HFprbZY2Rsvy2fZlfLZ2O/hB5YbTDbCgPsKi+gjG6PpZCA2oEVkvYGt3blgt39HUaDXV0e3QnJja0EPnoMdtWwZIuwH5sscYQyJiOG1enP39HvsGvJLaAmhOWKxsiVVsx72gLsKihijWBO1ZlmFObYSmpE1HymGoxGoqasFFy2ppb41r1TTDjA6l7+s//qBwrADoGvLpTfu0t8aoj5d2gOgHwq4+l9RwBasmIBYxtLfEqInpidFizPqAEhEOD3nsGqdqyieQ0oce/EB4eO8wTxw8vmrKxzKGhQ2RI+emiplkYBtY2RKlMWEfVcUUopShv9Hhi0TUKqg9yxhitmHNnDidQx57+oqrphbWR7i4vZ5ERKummWbsUHoh254AbgDPHHZoq7VZ0hQtap0eyPp0pBy8ClZNFjCvzmZxY3F9VTmzOqAcX9jW7TDoBEUfTZUy9NA1nKuahpyg4HAaZRlDMmo4fW6cvf0uBwb9SX+mMWGxqqX0c2bFbsTzaiMsLnEIxrIMc0eGNDtS2UkniNgGXrC0hlPaEkS0appRJhpKL0QAdA759GQC2ltj1E1SlQQi7O51OTzkU94znvkZIGpDe2t80v6p/GZtQHUNeewow0yyQoYeAhHW7Uvz1/3pooPpWJZlWNwYZU5NhC0jY/bHsg0sb47SnCy+aipFzDasao1RU2DVlI9lDPGI4ZS2BAcHXfb1jz9BZF5thEtW15GMWhWb/q/Ko5Ch9EIIuQPMjZ1Z5k9QoQw5AVtSDq4vFa2aSqnw1PFmXUC5vrC9x6E/W3zVlM9EQw/daZ/btwzQn/WnHE6jLGOoiRlOnxdnd59L59Cz1VRDPFc1lftcTL7hvjk1NkubYtjW6FJTZ1mG+fVRWpIROlLZIxNELAMXnpTk9HlJPdc0w5QylF7Q+wKHRqupMed4AhH29rkcGqxs1RQZuXyj1HNk6mizKqC60z7bux0CCWcMeuzQw6qWKB0ph4f3Doc2U8i2DEuborTVRNjW47CwPneeKoyjtmP7H7VyVVNtbGpVUz6WMSSihlPnJtg/4OL4wqWr66mNadU000xlKL0QgUDGE57qzLKwIUJzwmJrd26dqVQ4WVDWWYYqZ9YE1OGh8C8OhWeHHm7bMkB3unxVUz6WMdTFDWfMiwOGSowo2AZOn5/ANoQ+XdYaCcLT5iawKtCeKq9AhA0HM4wzEl12ArnZrv3htzWWAVbPKf91WmoWBVTWn9qYd7EynoQeTmNVcsdtDBUNi3hu/FDDaQYKhIpud9Nxt6K2WlvDKSQ6vUQppaZAD5vCowGllFKqKmlAKaWUqkoaUEoppaqSBpRSSqmqpAGllFKqKmlAKaWUqkoaUEoppaqSBpRSSqmqpAGllFKqKmlAKaXUCeamh3dPdxfKQgNKKaVUVdKAUkopVZU0oJRSSlUlDSillFJVSQNKKaVUVdKAUkopVZVmTUBFLYNVwSeL2ZVsTAQJAgLfq0hzfiCIgEhlnl/qBVKRR9mP8gPBr+BjYAMRggr9W1Za7snL092L8FgGovYJ/AtOs1kTUHNrbZY0RkIPqUCEjBewsTPLwQE39B2Pl81weO92rn//37D5kbtxMulw2/N8dh1M8Y8/vot9qQEc1w+1PctAbawyq2kggusL9+8a4u4dQ7h+uMERiOAFQkfK4eCgR1DJZ6NXiGUMp82Nk4yEf4BoTG47X90aJWKF/6Rby8DihggL6yMhtzR7zZp/WWMM8+qiNCZstqYc0p5Q7v2B5wu7eh3+vH0Ix8+9eSod0N4aI2rl+lA2IrhOhrt+9i1u+961BL7Htz72Fs562eW89erriCeTGMsuY3MBrhfwp0eeYuOO/QB87Pt38IbnPYfLLziZWMQu6+9ngIgFq1pjNMTL93vk4/lCb8bnti0D9GUDAPb0uVzSXkdLTaTsR8l+IPRlfLb3uPgCvZmA7mF/ZF0xWJWswEOWjFqcPi/O/gGP/f0eQZnf3wC2Be0tMRoSuXXlzLjNzl6X7rRf9u3cMhC3De2tMZLRWXOMPy1MpYZpymnt2rWybt26kn9eRDg46LG33yvLyjt65H3HtkF29LjHfd8ysKwpSmuNjVWGnbjnZOhPHeZ7n/o79m7ZcNz361vm8q7PfZclp5xFLFEz9fY8n0M9ffzuvscZHM4c9/2lbY184vUX0lqfJBqZephYBlqSNsuaoqEPlYoIfgCP7B3msQMZxlsdzpgX53lLarEtpvz5iQi+wPZuh57M8btqAyxtjDCnNlLZYeIKGXYDOlIOjl+eA8TJ1pXejM+2bgc/YNzPtuj2gIUjVVMZDsgKeoMVa86Qz994a9Fv/rbzlxT9MxVU0O8+KwNqVHpkY8lOYWPxfGHfgMuftg6S8SZ+k/q4RXtLbEpH4242zQO//SG/+8Y1eK4z4bIXvOatvOFjXyIWT5RWTYng+j53/nUTT3TsmXDRiGV4y0Wncsk5q0qupkaPhFe1xGhMVKBqCoT+rM9tWwbpSU88VNkYt7hkdT3NCZtIiZ+fHwgD2YBtPQ7eJGVEfcxiVWuMSBlCsdoEIuzr9zgw6FHq7scA1si60jTJuuIFwo4eh95MUPJ2bhmIjVRNNeWrmjSgJltoNgcU5I5oSxl6EBHcQLhz+xAdqYmDYizLwIrmKM3J4qop380y2NvN969+Jzuf/mvBP9c0dyHv/sL3WbTqNKKJZME/5/k+Xb0D/Pbe9fQPFX5ea+X8Zj7x+gtprIkXVU1ZBpoTNsuao0QqUDV5Aaw/kObRfemCd1oGOHtBgvMW12AXMWQrkjsA2tHjkpokCMeyDCxtzFXeJ2I1NeTkDhBdX4ra9iwDjQmLFc2xotaV7rTP9m6HQIqrpoyBBXURFjVEyn2woAE12UKzPaBGFTP04PrCoSGXP3YMMuyW9u/XGB89Qp78c3IyaR79w8/59XWfxs2WNgniBa9/F5d/6F+IxhIYa4IjQBFcP+C+xzez7pmdJbUVtS2ueMkZvPS5y4hHJz7NacjtcFa2xGhOVqZqGnICbtsyQNdwaRM8mpM2l66uoyE2eTXlj7S3tdvBLfHkS0PcYlVLrCxDjNUmEGFPn0vn0OTnikbXlRUtMVpKXFdcX9je49CfnbyasoCIbVjdGgtroo4G1GQLaUA9a7Khh9Ej77t3DPFMV3bK7dkGVrREaUqMX035nsNwfx8/+H/vYev6B6bcXuvCpbznX3/AvGXtROPHV1Oe79M7MMxv7nmMnoGhKbd38qJW/uF1F1CfjBGxj9+hWCYX1MubpzbsWSjPFzYcSvPgnsKrpnwMcO6iJOcsSmKb46up0appV6/L4RKDcCzbwLLmKM2JE7OaGsgGdHRn8QLG3fYskwvqFWVaV1LDHtt73LzrgTEwr9bmpMZomAcFGlCTLaQBdbwhJ2BLysEbM/Tg+ULXsMftHYMMOuWdh9ScsFjRcnQ15WTSbLj79/z8K58kOzxYtraMMbzkre/n0vdeTSwWzw3kj1RNDz21lYee3lbyeYHxxKM273nFmTx/zUlHVVO2geXNMVprKlM1pd2A27cMcmiovNeKzamxuXR1PbUx68jn54+019HtHpnNWS5NCYuVLTEsc+JVU34g7O5z6Ro+upqyDCxvijKntryTjh1f2NbtMOg8W00ZAxED7a0x6sOfPaoBNdlCYQaUMSYB3AvEyU1pv1lEPnvMMu8EvgLsG3np6yLyvYneN+yAgmeHHg4Oerg+/GXXEE92Tr1qyicycsK3NhKQHRrgh5+5imceuTu09uYuWcWVX7qROSeton84w2/ueYxUX/mC8FinLW3j46+9gIaaOPUjQ1ZhV02jM+Y2dma4f9cwZc6KIywDFy5OcsaCJIbc9PRDQ+FdHxaxYPlINQVlvnyhCvRnfTpSuZl39fFcIMdCWldEhMNDPrv6XESgrdZmSWP4s0dHaEBNIuzroLLAS0Vk0BgTBe43xtwuIg8ds9zPReSDIfelKJYxLG2KcdeOIR7ek2agzFXTsbwAnuly2PDND7H10TtJD/aH2l7n7q186R0v4oLP/pa9nb2hX1D81K7DXPe7B/jPv385bXXRiuxUt6ayrD+QCTUsAAKBv+xJ05cNaEpGyl41HcsLoCPl8tz5FonIiXcdTkPc5sz5CYbcgPqYFeq6Yoxhbl2EpqSN60vFLgpXhQk1oCRXno0elkdH/syoMcWMJ6GH01i7N28IPZxGBX7urhDGVGajzLo+NVFTsSN+L6CoWXNTNeQE1MQqeYukijVVcbZlKnKB9qiYbUKr0lTpQt8zGWNsY8zjQCdwh4g8PM5ibzDGbDDG3GyMOSnP+1xljFlnjFl3+PDhUPuslFLTaez+bqC3e7q7M21CDygR8UXkTGAxcJ4x5rRjFvk9sExEzgD+DPwwz/vcICJrRWRtW1tbuJ1WSqlpNHZ/V9/UMt3dmTYVG3AVkV7gbuDiY15Picjo7IPvAudUqk9KKaWqV6jnoIwxbYArIr3GmCTwcuDLxyyzQEQOjPz1MmBTmH1SSqnZ4KaHdxe8bLXO+At7Ft8C4IfGGJtctfYLEbnVGHMNsE5EbgE+bIy5DPCAbuCdIfdJKaXUDBD2LL4NwFnjvP6ZMV9fDVwdZj+UUkrNPDrpXymlVFXSgFJKKVWVNKCUUkpVpaLOQRljngcsG/tzIvKjMvdJKaWUKjygjDE/BlYCjwOj948RQANKKaVU2RVTQa0FTpGZ+HwOpZRSM04x56CeAuaH1RGllFJqrEkrKGPM78kN5dUDG40xj5B7jAYAInJZeN1TSik1WxUyxPdvofdCKaWUOsakASUi9wAYY74sIv937PeMMV8G7gmpb0oppWaxYs5BvWKc1y4pV0eq0ZATsDXlVKy94YFe7GXnEFt4ckXaO+3s8/inN7+QNSfNqUh7Fz1nAclYZR5CJyJkfWFpU5RKPIcu67j85M7H+endT+L64T/g8uDBg1zxwU9y4y9+RyXmLa3feZh3fON/eGDLwdDbAkgN+2zuypJ2K/ewUFV9CjkH9X7gfwMrjDEbxnyrHvhLWB2bbk8ezPCNR7rJeAGGcB8DLCLs2bSezY/ciVU/l/pTX4y/eA19j/8RcdJlby8Wj/PBf/wCr33bu4gnkpy6pI17ntzFjXc+geOVf4fQUhfnunc8nwva52FV4Gm6aTegI+XgBtCSjNCYiLCtO0tfJpyd3a4DXdxy/3o8z8eyDA9u3ss/XH4hy+Y1lb0tEeHWW2/lm9/4Oo7jcPcDj/DzW/7If371GhbMLf+BRtb1ufbW9fzo3i1kXJ+Hth7i9eet4J/fsJZkrPy38nR9YXuPQ382IBDoz2ZZ1BBhQV2kYk9iVtXDTHb0ZYxpBJqBLwKfGvOtARGZlkc9rl27VtatWxfKe2e8gB+u7+XhvWkcP/wj08xQPxvuuoX+rkN4nnvkdQMEnsPgU3fiHNpWtvZOPv0svnTDz2htm0ssnjjyuuv59Kez/NuvH6LjQPk+1ledcRJffcfzqIlFiNjh3rhERDgw4LFvwDvucehBIPRkfHb0OGV7VLrjedy1biNP79iPN6ZqMkA0YnP5BSfzhuc9B9sqz+/d1dXF5z93DZs3byaTyRx5PRqJEI/H+Prnr+ZNr3ll2XbkT+/t5qrv3sPh/jRp1z/yeiJq01gT49vvuYi1K+Zs/VqsAAAgAElEQVSWpS2AnrTPtu7c5zP2I7IMJCOGVa0xEpET6uY3BX1QK9acIZ+/8dZQOzINj9so6HcvJKAmfJzjdIRUWAG16XCW/3goRdoNyDeyMPqvOtV9nIiwr+MpNj3wJyTwCYI8DQYeXvc++jfcgbjZ8ZcpgB2JcNXHP81brvwgsXgi707McX3+uH4rP73n6aN2usVqTMb4ytsv5MVrFoZypH2sjJermjKe5A0gEcELYFt3lv7s1KqpvZ3d3HLferKui5un6oxHbdoaaviH113I4jkNJbclIvz5jjv42te+ius4eL4/7nI1yQQvPP9sbvjyZ2lrbS65PdcPuP72DXznfzaSccdvC3JB9b+e386nXns2iWjpQ7deIOzocenN+BMePFgGljRGmFt7wlRTGlCTLVRAQO0gtz82wBKgZ+TrJmC3iCyfWj+LV+6Acnzhp0/0ct+u4YpUTdnhQZ6851Z6D+07qmrKx0LwXYeBJ/+Me3hn0e2tfM6pfOmGnzFvwWJiicSky7ueT/dghq/8+gF2dvYV3d6L1yzk39/5AuoSEaJ2uOecRIRDgx57+o+vmvIJAiGV9tjV6xZdTXm+zz2PPcMTW/cUFODGQNS2edMLTuGy81ZjW8XtWHt6evjiv36BJ5988qiqKZ9YNEoyEec7136Gy17x4qLaAthyoJf3fe8e9vUMkXbyh9OoZNSmtT7Bd658EWcsaS26vd5Mrmryg8IO+iwDNVHDqpYY8ZlfTWlATbZQoSdYjTHfBm4RkdtG/n4J8HIR+XjJXSxROQNqayrL9Q91M+gEuEWGUynV1IHtm3j6vtsR38PPVzXl43t4qV30P3kn4k0+ecO2bf7ug5/gig98gngijjGFb9AiguMF/P6RzfzyL5vwC9iT1yWifPFvz+NVz11Skaop6wVs7XYYdvNXTfmICG4gbE05DDqFfQ4Hunr53X2Pkc46eaumfOJRm4Ut9Xz88guY31xX0M/cc889fOXaL+M4WVzXK6q9mmSCV150Id/413+iuXHy6s0PAr7156e5/vYnyXo+xc67SERt3vOSNXzs0jOIRSY/KPEDYWevS3d64qppPIZc8C9tjNJWa8/kakoDarKFigiov4rIOce8tk5E1pbQuSkpR0C5vvCLp/r4n+1DU6qaCp1A4WSGefre2+javwu/gKopn1w1lWXgiT/hpvbkXW7Jina+/N3/YuGSZcQTyZLbcz2fw33DXPubB9nb1Z93uQvb5/HNd19EQzJa0A5qKkSEw0Meu/oKr5ryCQLh8LDH7l437+fo+wH3P7GZv27eNaVhT8sYIrbF219yGhefvSrvhJH+/n6+cu2XWbfuUTKZ0od147EoNTVJfvD/fY5XvujCvMvt6Oznfd+/l52H+wuqmvJJxmwWNNXw7fe8iDWL8g8x9md9OlKFV035WAbqYhYrW2LEKjFVs/w0oCZbqIiA+iNwH/ATcuvV24GLRORVpfawVFMNqB09Dv/+UIq+jM8UtsejTFRNde7qYMM9t+aqpjznD4rme7id2+h/+h7wx0yuMIa3vvfDXPUPnyYWT2CV4QR9rpry+dUDm/jtQ5uPCoVE1OaaN53L5WuXV6Rqcnxha7fDkBOUbbJDIILnCx0ph6FjTj529vTzu3sfYzCdKbpqyicetVk2t5GPXnYBbY01R33vwQcf5F+/8HmcbBbHLf1AZqxkIsFrX/VirvvnT9JQ/2z1FgTCD+55hi/dsh7HCwjKMF3dkPv9PvDK0/jgK087amJMIMKuXpeu4eKrpolYBlY0R2mtCX/9KzMNqMkWKiKgWoDPAheNvHQv8C8zaZKEFwi/2djP7R2DoZxrOraacrMZNv7ldjp3b59S1ZSPheA7Gfof/wNez34WLlnGF79zE0tXnkwiWXrVlI/j+hzoGeQrv3mQgz2DnLO8jW+/5yKa6+LEK1A1dQ377CzhvFGhAhEODXjs7Xfxg4AHn9rKw09vx/eDsl9mYFu5aupdLz+Tl52xjKGhIa772le5//77yWZLr5ryScRj1NfV8qPrvsCLLlzLntQg//s/72Xzgd4pVU35JGM2S1rr+c6VF7FyXiMD2YCO7ix+QCifn2WgIW6xojlGdOZUUxpQky00E29OXkpAdQ55fOW+LlJpvyITIXoO7uGxO36N+C6eV9z5g2KJ7/GSU0/iQx/4+7JVTfkEIrieT3qwn4tOnleRqskPctXNQBmrpnwCEfZ3D/GFX9xP71Aa1yv/znusRNSmzRpk+12/JJNJ4zjhXhieTMR54SVvYKM/F8cLCjq3WCrLQCxic927X8rclsbQPzsD2AbOmB8nGvIlDWVS0YCahhCaSEG/eyEX6l4nIh8dc9PYo8yUm8X+ZdcwBwe9UC+4HWvrY/fhZst/ke14jB3hfX//PhLJmskXniLLGGrjEV6wbGFFLroFGHCCioQT5H6/R7fsJdU/VJYhr8lkXJ9Nf72DbH/xsyVLkc5kebQviRULN3ghVylZlqG5ob4in50ANTGrYuulCl8hh78/Hvn/jL9pbCVrxUpvIjN4JlNBKvnbyZj/VoKp6JoJpqL/moZAhMrc4EqdaAq5WexfR760gYdEZDjcLimllFLFPVH3ncC3jTEpcrP57gPuF5GeMDqmlFJqdis4oETkCgBjzELgjcA3gIXFvIdSSilVqILDxRjzduCFwOlAF/B1clWUUkopVXbFVD/XAduAbwN3icjOUHqklFJKUcQDC0VkDvBuIAF8wRjziDHmx5P8mFJKKVWSggPKGNNA7m7mS4FlQCOgj7tUSikVimKG+O4f8+frIrI3nC4ppZRSxc3iO2Oi7xtj/kNEPjT1LimllFJFDPEV4PllfC+llFKz3Iy4o6JSSqnZRwNKKaVUVSpnQJ3YdytVSilVUeUMqOvL+F5KKaVmuUKeBzXuc6BGjT4PSkRuLF+3lFJKzXaFTDOf8c+BUkopNfMU8jyoeyrRkbAdHHAr2l4FHsZ6TIMVbq/Cck+3rdxpzkr+c1biabNjVfZf8sR/mKYKTzG3Omo3xtxsjNlojNk++ifMzpXDkBNw/YMpHtmXe/x6JTYV28DJZ51PLBbDtsOfKBmNRrl73VMEFdrTeQGkhn38CrTn+z6W53Bg/36y2Uzo7XmexykLm7ACH6sCMWUCj9i8lUDu8ehhi8TixIYOYVmVmcCbcX3W7+rG8yuxbgp9GZ/utI9bkfZU2Iq51dEPgM8CXwNeAryLKp+598TBDN98pBvHC3ArdNdAy8DC+gjnnHsqF6xZym9+/Sv27d2L45a/govYNpFohNde/nrmrXoOTx/O0N4aJ2YbrJCPWrf3uHSnfVa2xLAMobQ3nM6wYdMW3vHhf2T/ocO8/vWv58r3XkUsFgtlB5t1HO5ft4Fv/vQ3ZByXeNsyrLo5ENLOXHyP9LZHGN7+2MgLuWpDQii/7UgEY0c5540fZNHpFzI0OMjGp5/CcbJ4fvk3johtEYlGWXPKaTzUadifHeBV7XWhrZuBCMNuwNaUw6P70pw+L87zl9RiW+GsmzPRTQ/vnu4u8LbzlxS1vCl0YzDG/FVEzjHGPCkip4+8dp+IvLD4bk7N2rVrZd26dXm/n3YDblzfw6P7MjgTHEkZyjeUYxuI2Yb21hjJ6LM7NBHh8fWPcfvttxP4Pn5Qnp1BLBpl2bJlvPby11FTW3vkdQMsbogyrz5SkQ3TNrCiJUpj3MYuUwXgBwGZTJarv3g93/vZr4/63qJFi7jmms+xaPFi4vF4WdrzfJ/hdIZrb7iJ9Ru3HPU9K1FPfEE7lh0hKNPxmAl8/PQA/ev/G3+we9xlLMuUrSKOxOLMWbaGs9/8YRJ1TUdeD4KA3bt2smfPHoIyrZcAlmWxcMEClq9YiWXbR16P24aXraxlaWOMiF2+ddMPhD19Lp1D3lGvN8QtLl1dT1PCJlrG9sqooE6tWHOGfP7GW8PuS0WMCaiCfvdiAuov5B5YeDNwJ7AP+JKInFx8N6dmooDa2Jnh6w93k3Ynr5rKFVCjVdPC+kje8fa+3l5+9aubOXTw4JSqKdu2sO0Ir/mbv+G0007P215t1GJVa4yYbSpyDqA5abGiOYZtpnbOYTidYfO2nfyvD32KnXv2j7uMZVm89a1v5e3vuIJ4PIYxpVc4Wcfh0Q2b+Pcf3sxQOs8QorFIzFuOqW2BKbQFuaopu2s9Qx2PgORfQS1jEJhSNWXZNpYd5czL38dJZ12U93MZGBhg49NP4bnOlKqpiG1h2RFOOeVUGpua8i63ojnKy1fWEZ1iNRWIkHEDOlIO2TwHogY4a0GC8xbXELGq7nyYBtQkigmoc4FNQBPwOXKP27hWRB4qvptTM15AZb2AnzzRx192D09YNeVTSljZBqK2YVVLjNrY5DsuEeHRRx/hz3fcge97RR8hx6JRFi1ezOte/wbq6+snXd4AS5qitNVWppqKWLCyOUZ93Cq6mgqCgEzW4ZqvfZv/+MHPCtoxL1u2jGuu+Rzz5s0jVmQ15fs+6azDV7//Xzz8xMaCfsZKNhKfv2qkmiqOER8/M0T/Y/+NP9BV3M+WMOwXicVpXryStX/7f0g2tk66fBAE7Ny+jX3795dUTVmWxfx581ixqh17TNWUTyJieOWqOhbWR0uqboJA2NfvcmDQm3xhoDmRq6Ya4nZZq7cp0oCaRMEBdeQHcs+FEhEZKK5r5XNsQG3pyvIfD6UYcgKcEg8Aiw0oy8D8WptFjdGid/7d3d3c/MtfkOrqKqiasi0LOxLh4osv4cyzzir6KLAulqumolZlqqnWpM3y5ihWgdVUOpNhx+59vPUD/5eOHcWNk9u2zd+98528+c1vJhaLF9Re1nF44pmtfPX7P2dgaLio9rBsEvNWYGqaCq6mxPdw9j7J4DMPTFg15TP6OxWyrVqWhYlEOeM172bZuS8v+vPu6+tj08an8D2voGrKti0sy2bNKafQ3NxSVFsA7a0xXrqituB1MxAh6wkdqSwZr8h9F3DuoiTnLExiV0c1pQE1iWIqqLXkJkqMHrr3Ae8Wkb8W2ccpGw0oxxd+/mQfd+0YxPHL9/4ThZVtcpXCqtY4dQVUTfkEQcBDDz7AXXfdhe/7eXc+sWiUefPn84Y3vonGxsaS27MMLG2M0loTqchssagFq1pj1EbzV1NBIGSzWa791o185ds3Tuk8yKpV7VzzuWtobZ1DLBbL016uSrv+h7/k/nUbSm4LwKppIjZ/JbaVv5qyxMfLphlYfxte36EptTdqomoqEovTOH8J577149Q0zy25Dd/32bFtKwcOHpzwM7Eti7a2OaxsP5lIpJj5VkeriRoubq9jXm10wuomEGF/v8v+gcKqpnxaa2wuba+nLm4RqcC2MAENqEkUE1AbgA+IyH0jf38B8M3JnhMVhrVr18ov73iA6x9M0Z/1yxpOkD+gLANza21OKqFqyqfr8GF++cuf09vTe1Q1ZVkG247wile8krXnnlu2o72GuMXKlnjFxuPbamyWNh1fTaUzWfYdPMRb3v9JNnaU52qFaDTKle99L6997eXHTaDIOg7PbNvFtd+9id7+wbK0hxUhOX8lJBuOq6bE93D3P8PApnshKN8KaozBMHpd2Eg3LAtjRzjt4new4sJLMGWaddjb08OmjU/jBz7+mGrKtiyMZfGcNWtobZ1TlrYAntMW58XLao9bNwMRHD9XNaXd8kwcsQxcsDjJc+dPazWlATWJoiZJiMjzJ3utElaeepa86PO/L3swjceQW5ktC9pbYtTHJx9fL1bg+9x3373cf//9+J5HNBplTtsc3vjGN9PcUvywyWQsA8ubYzQn7IpUUzHb0N4SJRm1sAxkslm+/oOf8bnrb8Dzyv8hrlmzhn+55hqaGpuwIxGyjss3fvJr7nrosbK3BWDVthCbtwLLsoGAwMnQv/52vJ7xJ3lM1dgqKhKLUzdnAee97RPUzVlQ9rY8z2P71i10dh7GDwJsy6KltYX21c8hGo2Wvb26mMUl7XXMqYlgW7kDxUMDHnv73VCuSptba3Pp6nqSUWvKE3xKoAE1iWIC6mtADfAzcuvN3wI9wK8ARCScrX8cc1adIRd/6baKtFUTMdTFLZY0Rss2jTqfQwcPcuutt7LmlDVceMGFZTsSzqcxYbG6tbDzNuUQdwdw+zr5yGe/zONPbw61rVgsxvs/9H84adkKrv/RzaR6+kJtDztCtHE+/nAvg5vuAz/8O5c0zl/K4ue+gNUvuhxjlf/Aaazu7hQ7tm9nydKltLWVPnxYqLPmJzhzQYJdvS5DIV/EaBu4ZHUdS5tilb5mSgNqEsUMHJ858v/PHvP688gF1kuLeK8ZY2FDhNaa0sfXizFv/nzec+WVFWkLoC9ToauXR2zc3clHPvxBhoqdmFACx3H4+g3fJzl/RWVuJeR7pLfcj9PbWYHGcs5/28epm7u4Im21tLTS0jL5bMBy2dSVxbYI/aAQwBfY0uWwuCGKVT0z/BRFBJSIvKTYNzfGJIB7gfhIWzeLyGePWSYO/Ag4B0gBfysiO4ttSyml1ImlmHvxzTPGfN8Yc/vI308xxrxnkh/LAi8VkeeSq8AuNsZccMwy7wF6RGQVudsofbnw7iullDpRFXOS40bgj8DCkb9vAT460Q9IzuiUqejIn2MHXF4L/HDk65uBl5kquEBBKaXU9ComoOaIyC8gd9mHiHjApFOwjDG2MeZxoBO4Q0QePmaRRcCeMe/ZBxw32G2MucoYs84Ysy7TP/79y5RS6kQwdn830Dt793fFBNSQMaaVkQpoZKhu0qlRIuKLyJnAYuA8Y8xpxywyXrV03GltEblBRNaKyNpEQ/mnXiulVLUYu7+rb5q9+7tipqd9DLgFWDly49g24I2F/rCI9Bpj7gYuBp4a8629wEnAXmNMhNw9/mbvIYNSSimguApqJXAJuWnlfwQ6mCTgjDFtxpimka+TwMuBZ45Z7Bbg70a+fiNwp4TxQByllFIzSjEB9WkR6QeayQXNDcC3JvmZBcBdI7dJepTcOahbjTHXGGMuG1nm+0CrMWYruSrtU0X9BkoppU5IxQzxjU6IeDXwbRH5nTHmnyf6ARHZAJw1zuufGfN1BnhTEf1QSik1CxRTQe0zxnwHeDNw28gFtuHei0cppdSsVUzAvJncuaeLRaQXaAE+EUqvlFJKzXrF3OpoGPj1mL8fAA6E0SmllFKqMndBVUopNWONuQt5Rek5JKWUUlVJA0oppVRV0oBSSilVlTSgJtEYt0hEKndz9eZE7tHTJyLPDyDZVLH2xHPwh/sr1h6WDVblTuvWxKNU4Hl+RyxpjBb2GNQysAwko5X75fxA6M9Oeu9rVWEzdJKEwTKE+qRUA7zm5Dped0ojiPA/24fY2u2E1l7Ughctq2X1nDjDbsDtWwY5NOSF155tWNUSC+39j7X9YA9fu2MLibNfh925lYEn70RCfCy6P9RDZsd6hhBqV55DfNk5GCvc47FI82LspoU4nTvwB8O7nWQ0HufyK97PWWuW4At0pFwGnfCejtyUsPjg+S2sao2zp9fl3x9KcXg4vJ35nBqbV6+upy5u0Zv22dHj4Id887PtPS47e13OXpjk3EXJijzJV03OzMTb3p159jly2VduY1+/RzaENXderc1HLmxlfl2EWCS3U3N9YW+/y5+3DZLxytvmwvoIF7fXk4iYIxuGFwgbDqR5cG+67EHcWmOzrCmGZSDsR295fsAv79/I7x/twPFyOzVDQOBk6X/8D3jde8vanvgefmo33lAPEuR22lYkipVsoO6MV2HXNZe1PYDcP6HhyLYkAZIZIH1gGwTlPchY2r6Gt3/kn6ita8CORAEIROgc9Njd5x3/GIApuvCkJO8+u5l4xGAZQxAIbiD89Ik+7twxVNa2DHDe4iRnL0xij6ybIoIfwNbuLP3Z8EJ4VMSC+pjFpavraakJ/fi9oI1vxZoz5PM33hp2XyYUwiy+gn73GRlQa9eulUcefZQ/dgzyy6f7cX0py4ZpgFeuquXNpzUStXMb5Fj+yMZ5x9ZBdvZO/ejfNvDCpbWsaYsTGWdczwuEISfgti0DdJXhiDViwaqWOHUxC6sCR4i7D/fxb795kNRAmqx7fP/F93APbmFg4z3gT31H7g/34XZuxyAE/tHtGWPA2NS0n0d86ZllDebRHelYlgHf93EObcMf6p1yG5FolFe/9UrOffGriMbix31fRHB8YUvKYdid+tZQH7N4/3nNnDwnTjxyfOWZ9QJ29bp8/eFuutNTXzebkzavXl1HfdwmMs66GQRCd9pjZ69b1gM2wzjP9iG3rZy7KBeWx+4HykgDarKFZmpArVu3DoADA7khh85Bf0rVVGuNzYcvaGFxQ3TcDXIs1xd29jjcuWMIp8Q259VFuLS9jkTUGneDHDV6BPnYgTSP7E2XHMTNSZsVzZWpmvxA+O2Dz/CrB5/B9fwJ+2xJgOekGVh/O15vadd9S+ATpPbgDqaOVE1524tEsWubqT3jldg1jSW1B2AZg8BxwTRO55B0P+mD2yAobUe+aHk7V3zk/1Hf2IQdnXhYNhDh4IDH3v7Sq6m1CxNcdW4LcdtMONQ1esB242O93L97uKS2DHD2wgTnLarBtiZeN0UEL4CtqSwDIQ5pjopY0JSwuaS9nqakHUYTGlCTLTTTAwpyG+Wtmwf47aaBkqqpFy+r4e1nNhGzTMGVhR/kjlj/uHWQPX2FV1OWgeedlOT0+ckJg+lY3shJ3Nu2DNJTxBFrxIIVzTEa4nZFqqb93QP8228e5FDv0LhVUz7ie7j7NjLwzP1F7cj9dD/uoe1YCH6BVZixLDAWNaufR/yk00oKbMsYggK3HcuA73lkD20jGJ70GZ9H2HaEV73pCp73ysuIRmOjY4mTEhGyvrClyyFdxHB0TdTwvrXNnDYvMelB2lhZL6Aj5fDNR7qLGoZrjOeG0pqS41dN+QSB0DXssavXLSmE81VN+Za1LbjwpBqeOz9R7oM7DajJFjoRAmrU3j6X6x9KkRr2C6pscid/W1nePHnVlI/rC1tTWe7ZOYQ7ybY5p8bm0tX11MYmrpryGT2CfHTvMI8dyEy6kTUlbFa0xI6M54cpEOHWRzv4r3ufxvV9SlmtjPj42WH6H7sNv79zwmUl8Al69uH0HQYp7WjaikSJ1M+h5vRXYCfrJ19+ZCiv5C1GAmS4h/TBHZP2ef5Jy7jio5+msWUOkUmqpnwCEfb3e+wbmDy4nzs/wfvPayERMSWtm6MHbN9d18Mj+9KTtzcvwYVLaohMUjXlE4jgBUJHymGoQtVUa9Lm4tX1NMTLVk1pQE220IkUUJCrNH67qZ/btgxOGFLPX1LDu85qIhY5/lxTsfxAyHjCHzoG2D/OzsAyI+PZC5KTDmMUwvOF3ozPbVsG6BvniNU2sLw5RlOiMlXTod4hvva7h9jb1U+miKopH/E9nN0bGNzy4Lg7cj8zkKuaJCi4asrHsmzEGGrWvJD4wjUTfjbFVE353wMCzyVzcCtBemCc/li87PK38qLXvKmoqimfQISslzs3Nd7knmTE8O6zmzh7YbLkg7Sxsl7Axs4s31nXM+7MwvqYxSWr62itiZQUhMcanSCyp2/iaqqYqmmi97AteOHSGk6dW5ZqSgNqsoVOtIAatbPH4fqHUvRlfJwx+8yGuMX7z21h9ZxYWTbIsTxf2HQ4y327ho5Mi21J2lw6wcnfUgUj56Ye3D3ME4cyR15viFusaomXJQgnIyL8af12fnTXBlwvmPLOeywjPn56kP7H/ht/MJVrLwgIevfj9B4quWrKx4pEiTbNo+a0l2PFa599fapVUz4SEAx2k+nceeR3aVuwmCs++mla2uYRGWcixFQEQW4W6oHBZzeGU+fG+cD5LdRMch60WKMHbN95tJvHDjy7bp7SFueiZbUlV035BCK4vtCRypZlgshkIhbMrY3wqvZ66mJT2odoQE220IkaUJAbfvvl0338eVtuMsO5i5JctbaZ2CQnf6fCC4SMG3B7xyCLGiKcu6j0YYxCuL7QPezxh62DzKmxaUlGKlI1pfqHue6Wh9lxqLcsVVM+4ntkdz7GwFN34R7aCoFPUIYZf+OxbBvBouaUFxNf0I4xpixVU972Rqqp7MFtvOClr+QVb3g70WgUTDjXawUipF1hV6/LW05v4IKTasp+kDZW1gt4/ECGnz3Zy4uW1TG3NjLubNVyCQLh4KDL3v7wrh8cZZncSMWLl9dy8px4qdu3BtQkZuiFuoWJ2oa3ndHEeYuSPLQ3zZtPayBmh3yxpmWoi9u8/pQGZOTvYYrahra6CGctSDLsBqFXTQBZ1+Oj3/sTjufjh3m1NGDsCHbDXLIHNpdlKvpEclPTfbzuPSQWrALCCycYudDcjnL5lR/jrLPOHHf6eDlZxlAbM3z2JW201kSIhnzLknjE4qwFCYxpJhAJfd20LENjwmbfFGYwFiqQ3J+7dgyR8YQzFyRDbnF2OqEDatSq1jgrWmIVu00LUJHp3M+2ZXD88HcAozKujxcEoYfTKD/dTyQaxws5oEaZWE1oVcx45s5tCz2cxmpM2KGH06jRar5S66YfjMyarNDAkBdAXyb8SRqz1awIKCDMi+3GVakNUimlTlR6s1illFJVSQNKKaVUVdKAUkopVZU0oJRSSlUlDSillFJVadbM4lNKqdkuhAtuQ6UVlFJKqaqkAaWUUqoqaUAppZSqShpQSimlqpIGlFJKqaqkAaWUUqoqaUAppZSqShpQSimlqpIGlFJKqaqkAaWUUqoqaUCdAAIRIla4jycfK2pbGAyVeiZjpKYR33Mr0xgQEQ/bqtwDJ3v7+pCgck9lHXKDiq0ruSdLV6QpAKKWCf1x72NFLKiN6cNJw6IBNcM5XsCBAY+bn+5jV6+LF/Kzrl1f6EoL5513LrU1tURsO9T2jDHUrzqHZe/9BpH6VuwQH41u2zaJZA1/f+W7+eAVbxK+6HsAACAASURBVCQRj2Fb4W0i0UiEZDJJXV09JsR2RlkGEhHDpsNZetM+fhD+rtwyhtPnxamJGsLOfMvA0uYor11TT03UEOZT7Q25cHrekhrOWZgMr6FZTm8WO0OJCI4v3Lp5gN89M0AgsLPXZWVLjJevqCVqm7I+dl5EcAPhzu1DdKQc7FiSs9eey57du9i1axcSBGU9crUsC4xF7fxlRBK10LqI1Vf/nkO/+RI9T/yJwMmUsTVI1tSydOVqvvCtn7Bo6XIAzjplNdfe8BO27zlAJuuUtb1oNMrq1at5zWv+hkQy/B2cZWB+XYSFDVEsY+jodmlO+KxoiWEbyrquHCsRsThtbpwDAx77BjzKnYujYbGqNUZDPHfAdMWZzdy7c4gtqSxemYvTiAVNCZtLVtfTlAj3AG22M1KhUr+c1q5dK+vWrZvubkwbxxd60z7XPZhid9/xQ1/JqOFVq/7/9u48Tq7qOvD477yl9up9kdTaW91iFQILMMY7ZhHB2MRMgjcMM44TxwuexDPjZDJOxnHsyUw+HkycMWbCjHdim9ge7LDaGC8Y8AjMJja1FrQggdT7Wts7+eNVQ9PqVlcvVV0tne/n05/urner7qlXVe+8c9+t91IsS/n4C7AbmSsoLw3nuGvHEMO5o98vw8PDPLX9SbKZMfKF+W8NRIRYTT3RhhWIc/QGYPCZ+9n3zT+D3BiFXGZefTmOgx+J8oef/DRX/cHHwsQ4gapy+30PcPP3fkwunyeY59bV81w8z+ed77yCjSedNK/HKoUj4bDXhsYoycjRVZrnQHt9hHTUqciw5mguYEd3lkxBFyRROQKNcZc1df6U8e/tz3LXjiFyBWUhBhc8B85pi3PmijjO/JN6SQ+w/uRN+tmv/ni+fQFVdTbzkp67JaglZLxqumfnEN97cmDGD9zGpghvXpfCc5jTh0lVyQfw8z3DPH342IkgCAL2Pr+Hffv2EczxeIrrCCoOiZY1+In0MdsWRgc4eOtn6d/+8zlXU/FEguWr1vL5r3ybNe2dx2x78HA3/+3Gb7D/0OE5V1O+77N+/Xouv/wdJJLJku4jMOfK1BFoSXqsrPVnfP0b4y7r6v3iMaPyJipV5cBgnoPzqKYEcB3Y0BChdoYqJpMPuG/3MLt6s3OupjwH0lGHSzvTNMQXbODJEtRMjSxBLQ25QsBAJuCLD3Szq7f0CQNJ3+GSjhQtKQ9vFnvI+UA5Mpznjh1DDGVL/1QPDg7y9PYnyeWys6qmRIRoqo5YU9uUVdN0Bp68j/23/AXkMhTypSUOESESjfGBj/4Hrv7IJ/G80jY4QRDww3t+yTd/eFdYTZX42XFdB8/zefvbL+fU004r6T7z4Qh4jrChIUIqWvq69Isb/GSkMtXUcDaspnIFZTZ5wxGoj7msrfdn9Z7e3Zvlnq4h8sHsqinPgbNWxDm7bUGqpoksQc3UyBJU9csW9wBveaKf3Bz3AE9tjvKGtUk859h7yONV0/17h3nixbkNnwVBwJ7duzhw4MCM1ZTjCIpDsmU1frJmTv3lh3p54bt/yeBzvyHIjh6zbSyeoGX5Cj5347fZcPLcksX+Qy/x+S9/g0NHemaspiIRn5UrV3HFFb9LKn3sqnAmpVRTjkBTwmVVbWTOSaYp4bK2rjLVVKDK/v4ch4YKMz43IXx+7Q0R6uNzO/Yzlg/46c4h9vbnZqymPCfcwdvamaY5WZbD9ZagZmpkCap65QrKcC7ghge6ea57/gfp01GHSzvSNMRdvCmOTeUDpXe0wO3PDTKQmf+xpIH+fp56ajuFfG7KakrEIZJME2taiePOfwPQ9+hdHPjOf0UK2SmnpUdjMa764Mf4gz/5Czzfn1dfhUKB793xM77zL/eSy+eY/DFyHQfX89i6dStnbD6z7Bt6R8AVaG+MvjxRYD4irrChwSfhV6aaGsoG7OjOkCtMnYQdgdqow7r6yIIcV+3qzvDTXcPkg6mPhXkObGqN8dpViXI+f0tQMzWyBFWdMvmAB/eN8PVH+8ks8NTxM1pjnLc68XI1paoUAnjowAi/fWFsQWfjFQoFdu/s4uChQy9XU44IKkKiZTWRZO0C9ga5gSMc+PZ/ZmTPYxSK1VQsHqe+sYXPf+VbnLTprAXtb8+BQ3zuf32N7t5+xrJhUoz4PsuWL+dd77qSmtqFfX7jJlZTjkBD3GVN3dyrpum0JF1W11aumtrbl+PwcOFVQ36uwPr6CA2JhZ0xN5ILuKdriBcGX6mmPCecdbi1M5xkVGaWoGZqZAmquhSCsGr6h4d62P7S/GaoHUttLDzgWxdzGcgUuP3ZQXrHyvdl0b6+Pp7a/iS5fJ5oIkWsefWCVE1TUVV6t/2IQ9//PC4BV7zvg/zxpz5DNBYrS3/5fIFv3XY3P7jnF4Bw4UUXsWXL2WXdoI8/sutAe0N0xokC8xF1hY7GCAk/7LXciWowU2BHdzihoSbq0N6wMFXTVFSVZ49kuG/3MIHCqS1Rzl+TnNWxrXmwBDVTI0tQ1eWGB7p54sUxRvPlf10EWJ72ODiYr8i374dGM3TtfwmJJsq+kQM4Iz3CRasdOk85vex9ATzw7H6Gcg61dXUV6a+9OIOtQhtTzm6LLfQkgWkVAmUkF5CKOBV5rwxnA0bzAU2Jin411BLUDOyLulVmX3+uIskJwiGiFwbzFekLwjM1+IlURc5gAJBsaGXdxpaK9AWwrKWZw8OFivWX8J2KJadKcx0hvQDH0kqVjDhTfk9sqauihDQnx98rYowx5rhgCcoYY0xVKmuCEpFVIvIzEXlaRLaLyHVTtHmziPSLyKPFn0+XMyZjjDFLQ7mPQeWBP1XVR0QkDTwsIveo6lOT2v1SVS8rcyzGGGOWkLJWUKp6UFUfKf49CDwNtJWzT2OMMceHih2DEpG1wJnAQ1MsPk9EHhORO0Tk1Gnu/yER2SYi2w4fPlzGSI0xZnFN3N4N9vUsdjiLpiIJSkRSwD8Dn1DVgUmLHwHWqOoZwN8DP5zqMVT1JlXdoqpbmpubyxuwMcYsoonbu3Rdw2KHs2jKnqBExCdMTt9S1e9PXq6qA6o6VPz7dsAXkaZyx2WMMaa6lXsWnwA3A0+r6hemabOs2A4ROacYU3c54zLGGFP9yj2L73zg/cATIvJo8bY/B1YDqOqNwJXAh0UkD4wCV+lSPP+SMcaYBVXWBKWqv2KGcy6p6peAL5UzDmOMMUuPnUnCGGNMVbIEZYwxpipZgjLGGFOVLEEZY4ypSpagjDHGVCVLUMeQD5SdPVn29mUJKjDzfSwfcP6aBCc1R8veF0BHY4T/9IYmTq5Qf6e2xPjI65bTmvLL3pcINCUj7OnLkiuU/7XLB8pgJih7P+Nqog6ntkRpTlTmon6piFPaJVCNWUB2Rd1p9I0V6OrJEgThPPme0YDOxgiJMlx1U1V5cSjPvoE8y9M+TQmPU5oj3LljiJHcwm9cfQfes6mWN61NEvEcOhsj/HrvCN94rJ9sGTbmcU+4aEOK5Wkf14FPX7iaH27v5ifP9ZXlUvP1cY8LNzaQinr0jQY8PjbK+oYI9fHyvN37xwrs7MkQVCg/ndYS5fVrkngONMRdmpIuXd1ZcmXoX4BVtR4tSa8il143ZiJLUJPkA2VPb47esQLjVyZXIFNQth/OsDzt0ZZeuA9rJh/Q1ZNlJKcv9+e7woq0z/s313HvrmF2dGcXpC+A9fU+153XSE3UwXfDZBv1HF6/JsHm5XFueLB7Qftrb4jwtvYkniM4xXUW8YR3ntrIuavT3PjrgxwZWZjLzgtwRluKM9vSeMXnpkBBYWdPlrpYgbX1kQW7THohUJ7vy9Iz+sp7pZySEYetHSmaEh6+Gz4HV8Lq5oxlMXb35egeWbhLzid8obMxgu++8toZU0mWoCboL1ZNhYAp9+wDhYODeXpGCnQ0Roj7c6+mVJXDw3me789PuXETESKu8Lb1KU5uznF31xBj+blvBV2B3zuthre1p4i4clSC9V2H+jh86g1N3Ld7mH96on9ee+RRV7hwQ4qVNf7LG9OJIp7Dqroof3XxGr732GF+vmvyOYRnpybmcuHGRmpjLq5z9OsSKPSNFng8M0p7Q5Ta2PyGxgYyBXZ2ZygoFUlOJzVFeNO6FJ6AMynBOiIgsK7OpynhsrMnS34er50AbTUey1IejmCVk1k0shTPKrRlyxbdtm3bgj1eIVCe78/RPVyg1M+1I9CW9lg+h2oqW1C6erIMZ4OSNm6BKrmC8pOdQ+zqzc2qL4DVtWHVVB93iUyRLCbLFZT+sQLXP9DNnr7Z97e2zueiDamS97yz+YB9fRm+8uAhekdnX02dtizJ2atr8FxhhhOXAOFr1xB3WVMXwZ1lNRWosrcvy5GRylRNCT8cHl2WmjrRT6aqFBR292bpGZ19lop7r1RNs103ZtZKWsHrT96kn/3qj2ds955zV887oAoq6bmf8BXUYKbAju5wj3M225tA4cBgnu7RsJqKeTNXU6rKkZECe/pys9q4OSJEPeGiDWn29mf56c5hMiUcK3IE3nlSmss2pvGnqJqm47tCY8Ll029u5q6uIW7dPkAph6YirvDWdUnW1UeKyaI0Ec9hXUOMz1yyhlseeYlfPz9Y0v1SUZcLOxuoT/iz2pgGCj2jBfrHRmlvjFITLa2aGsqEFXY+0Iokpw0NES5Yn8SbxRCbiOAJrK+P0JgosKsnV9JrB7Ai7bEibVWTqR4nbIIK94RzHJ5F1XT0Y8BITnnixQyrajxaU9NXU7lCOCNwsMSqaSq+K6yrj3D1mT53dw3x/DGqmxVpj+vOa6Q56RJxZz8UKSJEPOHijhRnt8W5/oFu9g9MX92sqvG5uCNF1JWjhqBK4ThCzBHee1YLr1tbw00PHmIgM/3xlJNbEpy7trZYVcy+v6A4NPfckQxNCZdVtdNXU4Eq+/tzvDQ89XDsQot5woXtKdqmGR4thesIdTGXzcvDIb++senf5TFP6GiMELWqyVSZEzJBDWUDdnRnyBVmVzVNJ1DYN5DnyGiBjoYI0UnVVM9ogV092ZL3ZI/FESHmCZd2ptnVk+He3SOvmkYtwGUbU1xxcs2s9rynE3EdWlPCZ97awm3PDnLbM4Ov2kj7DrxpXZKOhuisqqZp+/McOprj/M3WtXxt24ts2z/0quXJiMMFnQ00Jn28KY41zVagcGSkQN/YGO0NEdKTqqnhbEBXd4ZchaqmdfU+F7an8J25JfqJHBEcCSuxvrECu3uPrqaWpVxW1vhWNZmqdEIlqPE94UNDhQWf3hwoDGeVx1/MsKbWoznpUVDY1ZOlPzP3qmk6niNsaIiyqjbCnTsG2T+QpzXpct15jSxLeURKGHIs1Xg1dfnGNOetSnD9A90cHMyzIu2xtSNN1FvYPW9HhJgvXHt2K+evreHm3xxiKBvQ0RTn/PV1+OHWdMH6CzQ8LvjskQzNSY9VteH3tF4YyHFoqDJVU8QVLlifZE1dZM5V03RcR6iPu9REXbp6sgxkAqKuFIemrWoy1euESVBj+YBnDodf2izn9iZQeL4/z6HhAtl8uNddrv4cR4g7wts31hCocs7KeFmnBEc8h+Vp4bNvbebe3SPURN0FqZqO1d/JrQk+c/EaHtw7TDLmLkjVNJ1A4fBwnt6RPCJSsappedrjss50WScmOCI4LnQ2RhjOBSR9x6omU/VOmAR1ZKRQ0sSChRAojJbhC7bT8VzhrOXxBd/znoojguM4NCa8sib6ca4jFBDqEn5F+gsUsgrl26042tltcWLz+MrCbLiOkI44lpjMkmCnOjpOHO/bm+N5FKrSz82Sk1kqLEEZY4ypSpagjDHGVCVLUMYYY6qSJShjjDFVyRKUMcaYqmQJyhhjTFWyBGWMMaYqWYIyxhhTlSxBGWOMqUqWoIwxxlQlS1DGGGOqkiUoY4wxVckSlDHGmKpkCcoYY0xVOmGuB2WMMUvZe85dvdghVJxVUMYYY6qSJajjhFbuArCL4nh+esf7a2fMXJ0wCaox7uK7lbl6qSMQrVBf4w4M5CgEilZga+c50JhwK/b8aqIODXEXrwLvVk8g5kHCF7wKPD/PgZ092Yq8bsYsNSfMMai473BGa4y9/TmOjBQIyrQ9cATaajyWpzxyQbjxGcoGZetv3IvDBQYyAZ2NEXwX3DJmDxGhvSFC41iBrp4sQVCeCscRSPoOGxojvHZlnCdeHOP+vSMUytSf50BnY5Q3rk0iAvc/P8xThzPkgzJ0VuzvnLY4Z66I22XYjZnCCZOgINxor6uP0Jgo0NWdJb+AG7qwahI6GiPE/XBXP+LCSU0RjowU2NOXQ7W8Q1WjeeXxFzOsrPFYlvIQoawbvrqYy+ZlMXb1ZukfW9gk7AisqfVoTnovP4dNy+KsqYtwx3OD9I4VFixxuAK+K1zSkWZVrf/y7W9al6KjMcodOwbJ5JXCAj0/z4GaqMvWzjQNcXdhHtSY49AJM8Q3UU3U5YxlsQUbpnKAFWmP01ujLyencSJCc9JjU2uMZETKPiymwL6BPNsPZ8gWlKDMQ0eeI3Q2RmlviOAKzPfpOQLJiLCpNUpLyj8qwdbGXH7v9FrOaYvjOfPvz3OgvSHCBzbXvSo5jVtR43P15no2NkcXZIjRc+CsFXHevanWkpMxMzihKqiJXOeVYaqdPdk5DRs5ApFi1ZTwj731inrCKc1RXhrOs7c/X/Yhv5Gc8tihDKtqPVqTHk6ZM2ND3CVdrKYGMnOrphyBVTUerSnvmJWfI8Jr2hKsa4hyx3ODDGRmX025EibXCzekWFcfOWZb3xUuWJ+iszHKXTsGyRZmX015DiQjDpd2pGlKnrAfO2Nm5YSsoCaqi4XVVH18dtWUCCxLhVXTTMnplfsIrSmf01ujJP3KVFN7+/M8fSRLthAQlDkr+q6wsSnKujp/Vs/NkXBSwumtUZalj66aptMQd3n3plrOWhGfVXXjObCmLsLVZ9bNmJwmWlXrc/XmOtobIrPu74xlMd67qc6SkzGzYJ8Wwj3pjsYIvaNhNRUc41iRQ7gh7miMkIzMLb/HPIdTW6IcGsqzf6D81dRQNuCxQxlW1/o0JdyyTqAAaEp61MTckiaIOBIOj65IH7tqmv7+wrkrE7TXR7h9xyDD2WDaasopVk0XtCfZ0BCddV8AEc/h4o40e3qz3N01RC7QaZ+fJ+HknK2daVpT9lEzZrZO+Apqovp4WE3VxpwpKwBHoCXlsmlZdM7JaZyIsDztc1pLlLhX/moqUNjTl+PZI1lyFTg2FXGFk5oirKmduppyBOKecGpLlLaa0qum6TQlPd67qY4zlsVwp3gozwkroPdvrptzcppobf0rFdhU1ZTnwKktUd63uc6SkzFzZJ+cScaHqbpHCuzuzVLQcGPqOtDRECUdXdicHvcdTm+N8sJgnhcGy19NDWYDHj00xto6n4Z4easpEaEl5VEbc+jqyTKSC6sNAZanPdrmWDVNx3WE161O0l48NjWaCyhomCzesi5JZ1N0QfuLeQ6XdqbZ2ZPhJzuHyQeKADFPuKQzzYr00ZMujDGlswQ1jcaES000xu7eLBFXWFXrl21jLiK01fjUx122v5Qpe5IKFHb15ugeKbCxKVL27+BEPeflCSJHRgqsrZv78GgpWlMe79tcxwN7R+gbK/CW9SlSZeyvvSHKirTPz3YPEfccXr8miT9VGWeMmRVLUMfgu0Jn0/yHg0qV8B0irjCWr8xZBfozZfoG6hTGJ4i0pipTVXiO8Ia1yYr0BWElfGlnTcX6M+ZEYMegjDHGVCVLUMYYY6qSJShjjDFVyRKUMcaYqmQJyhhjTFUqa4ISkVUi8jMReVpEtovIdVO0ERG5QUS6RORxETmrnDEZY4xZGso9zTwP/KmqPiIiaeBhEblHVZ+a0GYr0FH8ORf4cvG3McaYE1hZKyhVPaiqjxT/HgSeBtomNXsH8HUNPQjUicjycsZljDGm+lXsGJSIrAXOBB6atKgN2Dfh//0cncQQkQ+JyDYR2Xb48OFyhWmMMYtu4vauMNLPe85dvdghLYqKJCgRSQH/DHxCVQcmL57iLkedSkFVb1LVLaq6pbm5uRxhGmNMVbDtXajsCUpEfMLk9C1V/f4UTfYDqyb8vxJ4odxxGWOMqW7lnsUnwM3A06r6hWma3QZcXZzN91qgX1UPljMuY4wx1a/cs/jOB94PPCEijxZv+3NgNYCq3gjcDlwKdAEjwLVljskYY8wSUNYEpaq/YupjTBPbKPCRcsZhjDFm6bEzSRhjjKlKlqCMMcZUJUtQxhhjqpIlqCpTE3Uo05Xlj+IIjOSU8DCgMcZUF0tQVWZdfYT2+ghumZOUAMvTHglfCL8NYIwx1aXc08zNHDQkXNLRGDt7sgxmA4IFLHAcwHeFjsYIyYjtnxhjqpclqCrlu8LGpghHRgrs6cstSJJygNaUy8paH8eqJmNMlbMEVcVEhOakR23Mpas7y3BubtWUAL4LHY1RUlY1GWOWCFmKB8hF5DDwfIW7bQKOVLjPUllss1etcYHFNhfVGhdMH9sRVb1kpjuLyJ2ltDseLckEtRhEZJuqblnsOKZisc1etcYFFttcVGtcUN2xVTsb7zHGGFOVLEEZY4ypSpagSnfTYgdwDBbb7FVrXGCxzUW1xgXVHVtVs2NQxhhjqpJVUMYYY6qSJShjjDFVyRLUFETEFZHfisiPp1h2jYgcFpFHiz8frGBce0TkiWK/26ZYLiJyg4h0icjjInJWlcT1ZhHpn7DOPl2JuIp914nIrSLyjIg8LSLnTVq+KOusxNgqvt5EZOOE/h4VkQER+cSkNov1PisltsV8r/17EdkuIk+KyC0iEpu0PCoi3ymut4dEZG2lYluq7EwSU7sOeBqomWb5d1T1oxWMZ6K3qOp0X0jcCnQUf84Fvlz8vdhxAfxSVS+rUCwTfRG4U1WvFJEIkJi0fDHX2UyxQYXXm6o+C2yGcEcNOAD8YFKzRVlnJcYGi/BeE5E24OPAKao6KiLfBa4Cvjqh2b8DelV1g4hcBfwt8PuVjHOpsQpqEhFZCfwO8I+LHcscvAP4uoYeBOpEZPliB7VYRKQGeCNwM4CqZlW1b1KzRVlnJca22C4Adqrq5LO2VMP7bLrYFpMHxEXEI9zZeGHS8ncAXyv+fStwgdilBI7JEtTRrgf+IxAco827ikMbt4rIqgrFBaDA3SLysIh8aIrlbcC+Cf/vL9622HEBnCcij4nIHSJyagViAlgPHAb+b3HI9h9FJDmpzWKts1Jig8VZb+OuAm6Z4vbFWmcTTRcbLMI6U9UDwN8Be4GDQL+q3j2p2cvrTVXzQD/QWIn4lipLUBOIyGXAS6r68DGa/QhYq6qbgJ/wyh5RJZyvqmcRDrF8RETeOGn5VHtjlfgewUxxPQKsUdUzgL8HfliBmCDcoz0L+LKqngkMA5+a1Gax1lkpsS3WeqM45Hg58L2pFk9xW8W+rzJDbIuyzkSknrBCWgesAJIi8r7Jzaa4q33P5xgsQb3a+cDlIrIH+CfgrSLyzYkNVLVbVTPFf/838JpKBaeqLxR/v0Q49n7OpCb7gYkV3UqOHmaoeFyqOqCqQ8W/bwd8EWkqd1yE62O/qj5U/P9WwqQwuU3F11kpsS3ieoNwZ+MRVX1ximWLtc7GTRvbIq6ztwG7VfWwquaA7wOvm9Tm5fVWHAasBXoqENuSZQlqAlX9M1VdqaprCYcQ7lXVV+0FTRprv5xwMkXZiUhSRNLjfwMXAU9OanYbcHVxltVrCYcZDi52XCKybHysXUTOIXzfdZczLgBVPQTsE5GNxZsuAJ6a1Kzi66zU2BZrvRW9m+mH0BZlnU0wbWyLuM72Aq8VkUSx/ws4ettwG/CB4t9XEm5frII6BpvFVwIR+QywTVVvAz4uIpcDecK9n2sqFEYr8IPiZ88Dvq2qd4rIHwGo6o3A7cClQBcwAlxbJXFdCXxYRPLAKHBVBT+YHwO+VRwW2gVcWwXrrNTYFmW9iUgCuBD4wwm3VcU6KyG2RVlnqvqQiNxKOMSYB34L3DRp23Ez8A0R6SLcdlxV7riWOjvVkTHGmKpkQ3zGGGOqkiUoY4wxVckSlDHGmKpkCcoYY0xVsgRljDGmKlmCMsYYU5UsQZkTUvGyDEddTmXC8mtE5Etl6PcaEVkx4f89FTw7hDFLiiUoYyrrGsJztRljZmBnkjBVq3jqpO8SnuvNBf6a8OwFXwBSwBHgGlU9KCL3AY8SngewBvi3qvqb4ulurgfihGcWuLZ4XaHZxNEM3AisLt70CVW9X0T+qnjb+uLv61X1huJ9/gvwXsKzVx8BHgb2AFsIzx4xCoxfoPBjIvJ2wAf+jao+M5v4jDleWQVlqtklwAuqeoaqngbcSXiG6itV9TXA/wH+ZkL7pKq+Dvjj4jKAZ4A3Fs8Y/mngc3OI44vA/1TVs4F38eprhZ0EXEyYGP9SRHwR2VJsdybwu4RJCVW9FdgGvFdVN6vqaPExjhTPBv9l4JNziM+Y45JVUKaaPQH8nYj8LfBjoBc4DbineO4/l/DaO+NuAVDVX4hIjYjUAWngayLSQXhpA38OcbwNOGXCteVqxk+QC/xL8ez2GRF5ifDchK8H/t94AhKRH83w+N8v/n6YMKEZY7AEZaqYqj4nIq8hPDHp54F7gO2qet50d5ni/78GfqaqV4jIWuC+OYTiAOdNqHgAKCaszISbCoSfqdleJXX8Mcbvb4zBhvhMFSvOdhtR1W8SXq30XKBZRM4rLvcnXTH194u3v57wEhD9hNfcOVBcfs0cQ7kb+OiEuDbP0P5XwNtFJCYiKeB3JiwbJKzqjDEzsL01U81OB/6HiARADvgw4aUMbhCRWsL37/XA9mL7XhH5NcVJEsXb/jvhEN+fAPfOMY6PA/8gIo8X+/wF8EfTNVbV/y8itwGPAc8THnfqLy7+KnDjpEkSxpgp2OU2zHGhOIvvk6q6bbFjARCROvsBHwAAAGNJREFUlKoOFa9f9AvgQ6r6yGLHZcxSYhWUMeVxk4icAsSAr1lyMmb2rIIyJzQRuRa4btLN96vqRxYjHmPMKyxBGWOMqUo2i88YY0xVsgRljDGmKlmCMsYYU5UsQRljjKlK/wpPcKllFlmJmwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 边界六角图\n",
    "sns.jointplot(x=df[\"sepal_length\"], y=df[\"sepal_width\"], kind='hex');"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
